A data-driven modeling framework for predicting forces and pressures on a rapidly pitching airfoil

Scott T.M. Dawson, Nicole K. Schiavone, Clarence Worth Rowley, David R. Williams

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

This work formulates a switched linear modeling procedure to understand and predict the unsteady aerodynamic forces arising from rapid pitching motion of a NACA 0012 airfoil at a Reynolds number of 50, 000. The system identification procedure applies a generalized dynamic mode decomposition algorithm to time-resolved wind tunnel measurements of the lift and drag forces, as well as the pressure at six locations on the suction surface of the airfoil. Linear state space models are identified for 5-degree pitch-up and pitch-down maneuvers within an overall angle of attack range of 0°— 20°. The identified models accurately capture the effects of flow separation and leading-edge vortex formation and convection. It is shown that switching between different linear models can give accurate prediction of the nonlinear behavior that is present in high-amplitude maneuvers. The models are accurate for a wide range of motions, including pitch-and-hold, sinusoidal, and pseudo-random pitching maneuvers. Providing the models access to a subset of the measured data channels can allow for improved estimates of the remaining states via the use of a Kalman filter, which could be of use for aerodynamic control applications.

Original languageEnglish (US)
Title of host publication45th AIAA Fluid Dynamics Conference
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624103629
StatePublished - Jan 1 2015
Event45th AIAA Fluid Dynamics Conference, 2015 - Dallas, United States
Duration: Jun 22 2015Jun 26 2015

Publication series

Name45th AIAA Fluid Dynamics Conference

Other

Other45th AIAA Fluid Dynamics Conference, 2015
CountryUnited States
CityDallas
Period6/22/156/26/15

All Science Journal Classification (ASJC) codes

  • Engineering (miscellaneous)
  • Aerospace Engineering

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    Dawson, S. T. M., Schiavone, N. K., Rowley, C. W., & Williams, D. R. (2015). A data-driven modeling framework for predicting forces and pressures on a rapidly pitching airfoil. In 45th AIAA Fluid Dynamics Conference (45th AIAA Fluid Dynamics Conference). American Institute of Aeronautics and Astronautics Inc, AIAA.